Software Engineer - Applied AI

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Software Engineer - Applied AI in USA

Specter
Full time
Email

USA
08/29/2026
Report

San Francisco, CA

Responsibilities

Productionize research models through containerization, inference optimization, and deployment to edge devices and cloud GPU infrastructure.
Build offline and online evaluation systems using production traffic and define deployment metrics such as false positives, identity switches, latency, and model drift.
Create data feedback loops that identify failure cases, route them for labeling, and generate training and evaluation sets.
Ship end-to-end product features from inference services and APIs through to customer-visible behavior.
Run experiments, shadow deployments, staged fleet rollouts, and A/B comparisons between model versions.
Manage inference cost and performance tradeoffs across constrained edge hardware and serverless GPU providers.
Collaborate with research and platform teams to make model iteration routine and deployable.

Requirements

Experience taking machine learning models from research code to production systems used by real users.
Strong Python skills and working knowledge of PyTorch and modern inference runtimes such as ONNX or TensorRT.
Experience building model evaluation pipelines, defining deployment metrics, and handling distribution shift and unlabeled production data.
Experience with data pipelines and annotation workflows for computer vision or other perception domains.
Comfort with Docker, Kubernetes, cloud GPU services, and CI/CD for model artifacts.
Familiarity with computer vision, object detection, multi-object tracking, re-identification, or vision-language models.
Experience with streaming or event-driven data systems such as Kafka or Redpanda.
Ability to connect model improvements to customer-visible product outcomes.
Interest in physical AI, IoT, or large-scale distributed sensing systems.

Specter

Specter delivers real-time data and insights on private companies, enabling investors to make informed, confident decisions. Harness the power of live data and AI-driven analysis to outsmart the competition and make confident decisions in private markets.

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